Pooja Kamat

According to our database, Pooja Kamat authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research.

Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham

Eng. Appl. Artif. Intell., 2023

Comparative Analysis of Algorithms for Cotton Plant Leaf Disease Classification from an Image.

Aniket Singh, Amitesh Patra, Arjun Tyagi, Shivali Amit Wagle, Pooja Kamat

Proceedings of the IEEE International Carnahan Conference on Security Technology, 2023

2022

Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI.

Manish Rathod, Chirag Dalvi, Kulveen Kaur, Shruti Patil, Shilpa Gite, Pooja Kamat, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla

Sensors, 2022

Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation.

Shruti Patil, Varadarajan Vijayakumar, Supriya V. Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak S. Dharrao, Pooja Kamat, Ketan Kotecha

J. Sens. Actuator Networks, 2022

2021

Deep learning-based anomaly-onset aware remaining useful life estimation of bearings.

Pooja Vinayak Kamat, Rekha Sugandhi, Satish Kumar

PeerJ Comput. Sci., 2021

Data-driven bearing fault detection using hybrid autoencoder-LSTM deep learning approach.

Pooja Kamat, Rekha Sugandhi, Satish Kumar

Int. J. Model. Identif. Control., 2021

Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information.

Vidisha Wagle, Kulveen Kaur, Pooja Kamat, Shruti Patil, Ketan Kotecha

IEEE Access, 2021

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions.

Sameer Sayyad, Satish Kumar, Arunkumar M. Bongale, Pooja Kamat, Shruti Patil, Ketan Kotecha

IEEE Access, 2021